Dickson, Dennis W.

Abstract Neuropathological assessment at autopsy is the gold standard for diagnosing neurodegenerative disorders. We aimed to develop a pipeline for diagnosing Alzheimer's disease and other tauopathies, including corticobasal degeneration, globular glial tauopathy, Pick’s disease, and progressive supranuclear palsy. We used deep learning (DL)-based approach called clustering-constrained-attention multiple instance learning (CLAM) on whole slide images (WSIs) of tau immunohistochemistry in three brain regions from 120 patients. We also augmented gradient-weighted class activation mapping (Grad-CAM) to the model for visualizing cellular-level evidence in the model’s decisions. The model using the sections of cingulate and superior frontal gyri achieved the highest area under the curve (0.970±0.037) and diagnostic accuracy (0.873±0.087). Grad-CAM showed the highest attention in known pathognomonic tau lesions for each disease (e.g., Pick bodies for Pick’s disease). Our findings supported the feasibility of the DL-based approach for the classification task on WSIs, which encouraged further investigation, especially focusing on clinicopathological correlation studies.

AbstractBackgroundMultiple system atrophy (MSA) is a progressive neurodegenerative disorder characterized by various combinations of autonomic failure, parkinsonism, and cerebellar syndromes. Although consensus criteria have been widely used to diagnose MSA, accurate clinical diagnosis remains challenging. Other neurodegenerative disorders, such as Lewy body disease, can mimic MSA.ObjectivesWe described clinical and neuropathologic findings of two patients with Creutzfeldt–Jakob disease (CJD) who had antemortem clinical diagnoses of MSA.MethodsThe brain bank for neurodegenerative disorders was queried for cases with a clinical diagnosis of MSA, but neuropathologic findings of CJD.ResultsCase 1 was a 55‐year‐old man with a 6‐month history of orthostatic hypotension, parkinsonism, cerebellar ataxia, bradyphrenia, and memory impairment. Case 2 was a 65‐year‐old man who had a 5‐year history of cerebellar ataxia, parkinsonism, and cognitive impairment, as well as a 7‐year history of dream enactment behavior. Neither case had characteristic α‐synuclein immunoreactive neuronal or glial inclusions typical of MSA. Instead, they had spongiform encephalopathy with neuronal loss and gliosis with prion protein‐immunoreactive kuru‐like plaques. Genetic analyses in case 1 had wild‐type PRNP, whereas case 2 revealed a 4‐octapeptide repeat insertion in PRNP.ConclusionsEven when clinical features suggest MSA, CJD should also be considered if the progression is rapid or the disease course is atypical, such as the absence of autonomic dysfunction for an extended period.

ABSTRACTBackgroundAdult‐onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare neurodegenerative disorder with characteristic clinicopathological features. Identification of pathogenic mutations in CSF1R, AARS1, and AARS2 genes led to increased recognition and diagnosis of the ALSP.ObjectivesThis paper presents the first family with typical clinical, radiological, and pathological features of ALSP, yet negative for CSF1R, AARS1, and AARS2 mutations.MethodsThe index case was a 30‐year‐old male who presented with gait difficulty, followed by cognitive decline and incontinence.ResultsNeurological examination evidenced progressive dementia, dysarthria, spasticity, parkinsonism, and severe gait disturbances. Brain MRI showed confluent white matter abnormalities with scattered foci of restricted diffusion, and atrophy of the corpus callosum. He was suspected of ALSP; however, the extensive genetic work‐up did not find pathogenic mutation. He died at 33 years, and brain autopsy was performed. He had myelin staining pallor and axonal swellings, spheroids, and pigmented glia in affected white matter. His father developed similar symptoms in his early 40s and died at 46 years. Neuropathological examination also confirmed ALSP diagnosis. We found two similar cases in the literature with typical ALSP features but negative for CSF1R mutation; however, none were tested for AARS1 and AARS2 mutations.ConclusionsWe draw attention to a new entity within the ALSP disease spectrum that needs further investigation. As the disease‐modifying therapy is already available for ALSP‐CSF1R, there is a strong need to identify the genetic cause of patients such as these in the ALSP spectrum, enabling research toward implementing effective treatment.

ObjectiveRecent evidence supports a link between increased TDP‐43 burden and the presence of an APOE4 gene allele in Alzheimer's disease (AD); however, it is difficult to conclude the direct effect of APOE on TDP‐43 pathology due to the presence of mixed AD pathologies. The goal of this study is to address how APOE isoforms impact TDP‐43 pathology and related neurodegeneration in the absence of typical AD pathologies.MethodsWe overexpressed human TDP‐43 via viral transduction in humanized APOE2, APOE3, APOE4 mice, and murine Apoe‐knockout (Apoe‐KO) mice. Behavior tests were performed across ages. Animals were harvested at 11 months of age and TDP‐43 overexpression‐related neurodegeneration and gliosis were assessed. To further address the human relevance, we analyzed the association of APOE with TDP‐43 pathology in 160 postmortem brains from autopsy‐confirmed amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration with motor neuron disease (FTLD‐MND) in the Mayo Clinic Brain Bank.ResultsWe found that TDP‐43 overexpression induced motor function deficits, neuronal loss, and gliosis in the motor cortex, especially in APOE2 mice, with much milder or absent effects in APOE3, APOE4, or Apoe‐KO mice. In the motor cortex of the ALS and FTLD‐MND postmortem human brains, we found that the APOE2 allele was associated with more severe TDP‐43‐positive dystrophic neurites.InterpretationOur data suggest a genotype‐specific effect of APOE on TDP‐43 proteinopathy and neurodegeneration in the absence of AD pathology, with the strongest association seen with APOE2. ANN NEUROL 2023;93:830–843

AbstractBackgroundOther than the typical (memory‐dominant) variant, Alzheimer’s disease (AD) can present as posterior cortical atrophy (PCA) and behavioral/dysexecutive AD. Tangle distribution differs amongst clinical variants. Neuroinflammation is important in AD pathogenesis and may contribute to Aβ and p‐tau distribution. The relationship between pathological hallmarks, neuroinflammation and, APOE genotype in (a)typical AD is still largely unknown.MethodI will discuss our most recent studies on neuroinflammation in (a)typical AD from cohorts derived from the Netherlands Brain Bank and the Mayo Clinic. Atypicality is investigated from both a neuropathological perspective(N=19) and a clinical perspective (N=30, unpublished data). Additionally, the association ofAPOE ε4 with specific Aβ deposits (i.e., the ‘coarse‐grained plaque’ and the classic cored plaque) and their underlying neuroinflammatory response is investigated (N=60, unpublished data).ResultIn neuropathologically‐defined atypical AD, microglia, and complement show an atypical distribution across regions, resembling that of p‐tau. Clinical atypical AD variants show in addition to a distinct distribution for p‐tau and Aβ, a distinct distribution for activated microglia (CD68, MHC‐II), complement (C4b), and astrocytes (GFAP) (p<.05) (Fig. 1). Furthermore, when investigating Aβ in detail, we observed an atypical plaque, defined as the ‘coarse‐grained plaque’. This APOE ε4+ plaque is associated with increased neuroinflammation and p‐tau burden (ρ(58)=0.5 and 0.6;p<.05) in contrast to the classic cored plaque.ConclusionOur data supports that not all types of Aβ deposits are associated to p‐tau damage. Neuroinflammation, a process that is differently activated within AD variants, may be the link between Aβ aggregation and subsequent neurodegeneration and contribute to clinical variability.

AbstractBackgroundBlood‐based biomarkers of amyloid and neurodegeneration are increasingly used in clinical trials and entering clinical use. Differentially mapping the plasma markers to post‐mortem neuropathology in a community‐based sample is critical for interpretation.MethodWe identified 64 Mayo Clinic Study of Aging (MCSA) participants with antemortem plasma markers (Aβ42, Aβ40, NfL, T‐tau, Aβ42/40 ratio) measured on the Quanterix Simoa HD‐1 analyzer and with postmortem neuropathologic assessments of Alzheimer’s pathology (Braak tangle stage, Thal phase, neuritic plaque burden) and cerebrovascular pathology (Strozyk scale focused on macrovascular brain changes and Kalaria scale focused on detailed micro‐ and macro‐ vascular brain changes). Weighted linear regression models with adjustment for time between plasma markers and death were conducted with exact permutation tests to evaluate the relationships between antemortem plasma and postmortem neuropathology markers.ResultHigher plasma NfL levels and Aβ42/40 ratio were associated with both cerebrovascular neuropathologic scales (p<0.05) but were not associated with Braak neurofibrillary tangle stage, neuritic plaque score, or Thal stage (p>0.5). Plasma T‐tau was not associated with any pathological assessment. Plasma Aβ42/40 and NfL explained up to 18% of the variability in cerebrovascular neuropathologic scales.ConclusionIn this community sample of participants predominantly without dementia, plasma markers for amyloid (Aβ42/40) and neurodegeneration (NfL) were associated with cerebrovascular neuropathology at autopsy. NfL is a non‐specific marker of brain injury, therefore, its association with cerebrovascular neuropathology was in the expected direction. The association between greater cerebrovascular neuropathology and elevated Aβ42/40 requires further investigation. These findings provide evidence that cerebrovascular disease may significantly influence levels of plasma biomarkers proposed for Alzheimer’s disease. This information will be important to consider for accurate clinical interpretation of the proposed biomarkers.

AbstractBackgroundThe coarse‐grained plaque (CGP) is a divergent plaque‐type recently described in Alzheimer’s disease (AD)1. In the current study, we studied the CGPs distribution over the brain, and its association with APOE, p‐tau, and neuroinflammation.MethodThe cohort (N = 60) was selected from the Mayo Clinic brain bank in Jacksonville, USA. Brain tissue from the frontal ‐, parietal ‐, temporal cortex, and the hippocampus was immunohistochemically stained for Aβ (6F/3D), p‐tau (AT8), CD68, and GFAP. The CGP and classic cored plaque (CCP) were scored as previously described1. Total plaque burden was expressed as the sum of all cortical regions.ResultThe CGP was predominantly located in the neocortex and present in ∼60% of AD cases, who were younger at onset (p<0.05) and had a lower brain weight (p<0.05) than CGP negative cases. When stratified for APOE Ɛ4+ and Ɛ4‐, CGP burden was only in Ɛ4+ positively correlated with p‐tau, Aβ, and GFAP burden in the frontal and parietal cortex (Table 1). CGP burden was not correlated with CD68. The CCP was negatively correlated with p‐tau, and not with GFAP, Aβ or CD68 (Table 1). In APOE Ɛ4+ cases, the burden of CGPs was negatively correlated with the burden of CCPs (Fig.1).ConclusionThe neocortical CGP is correlated with increased p‐tau burden and astrogliosis in APOE Ɛ4+. The CGP is inversely correlated with the common CCP, suggesting an opposite effect of Aβ‐induced tau‐toxicity for the CGP versus the CCP. 1Boon et al., Acta Neuropathologica, 2020

AbstractBackgroundWe previously demonstrated that Alzheimer’s disease (AD) patients ≥70 y/o tend to have smaller medial temporal volumes in the presence of relatively less medial temporal 18F‐flortaucipir‐PET uptake compared to young AD patients. TAR DNA‐binding protein 43 (TDP‐43) is frequently found in the brains of AD patients and is associated with old age and medial temporal atrophy. In this study, we aimed to determine whether TDP‐43 could be contributing to the mismatch between medial temporal volumes and flortaucipir‐PET uptake in older AD patients.MethodWe identified 77 participants (median age at death 79 years [range: 51‐99]) who had been enrolled into the Mayo Clinic Alzheimer’s Disease Research Center or Neurodegenerative Research Group (NRG), had undergone flortaucipir‐PET and volumetric MRI scans close to death, and autopsy confirmed AD neuropathological changes, as well as TDP‐43 assessments. Grey matter volumes and flortaucipir standard uptake value ratios (SUVRs) were calculated for hippocampus, amygdala, entorhinal, inferior temporal, and midfrontal cortices. We used bivariate‐response linear regression modelling, adjusting for Braak neurofibrillary tangle stage, to estimate the effect of TDP‐43 and age on gray matter volume and flortaucipir uptake, and tested whether TDP‐43 effect sizes varied according to age.ResultAfter accounting for Braak stage, older individuals tended to have significantly lower flortaucipir uptake across regions and lower hippocampal and entorhinal cortex (ERC) volumes. TDP‐43 was associated with reduced hippocampus and ERC volumes but was unrelated to flortaucipir SUVRs (Figure 1). Notably, the TDP‐43 effect size for the hippocampus and ERC was largely consistent across age, i.e., at any age, TDP‐43‐positive participants had significantly smaller hippocampal (∼12% decrease) and ERC (13% decrease) volumes than TDP‐43‐negative participants. However, at older ages, the mean volumes in the whole cohort and, more evidently, in those with dementia moved closer towards the mean of those with TDP‐43 (Figure 1), likely attributable to the increasing frequency of TDP‐43 with age.ConclusionTDP‐43 is a major contributor to the mismatch between flortaucipir uptake and medial temporal lobe volumes in older AD patients where lower medial temporal regional volumes are observed in the presence of less flortaucipir uptake.

AbstractBackgroundTDP‐43 is a nuclear RNA‐binding protein involved in various neurodegenerative diseases, including Alzheimer’s Disease (AD), and normal aging. It strongly affects cognition and memory loss in AD. Concomitant TDP‐43 pathology increases the likelihood of being cognitively impaired at death.MethodMayo Clinic has amassed a large database with 1072 study participants with known TDP‐43 pathology status, who were prospectively recruited and followed in the Mayo Clinic Alzheimer’s Disease Research Center, Mayo Clinic Study of Aging, and Neurodegenerative Research Group. All underwent neurologic, genetic, and neuropathologic evaluations. Amygdala sections immunostained with antibodies against TDP‐43 were screened for TDP‐43‐immunoreactive inclusions and successively staged using the Josephs staging scheme. The frequency of TDP‐43 pathology by age at death was estimated using logistic regression with age modelled using a restricted cubic spline. Models were fit for all cases including the subset of 581 cases with dementia.ResultOur cohort was predominantly White (99%) with median age at death of 87 years (IQR: 80‐92) and relatively even sex distribution (52% female). About 55% had Braak stage V‐VI and 61% had Thal amyloid phase ≥3. Fifty‐two percent met criteria for intermediate‐high probability AD. TDP‐43‐immunoreactivity (TDP‐43+) was detected in 44% with median TDP‐43 stage of 3 (IQR: 1‐5), and in 54% with a median stage of 3 (IQR: 2‐5) in those with dementia. TDP‐43+ frequency increased approximately linearly with age at death. At 70 years at death, an estimated 30% (95% CI: 25–35) of the cohort was TDP‐43+ versus 33% (CI: 27–40) of those with dementia. By 90 years at death, 49% (CI: 45–52) of the overall cohort and 68% (CI:62‐73) of those with dementia were TDP‐43+.ConclusionThe results from our large cohort confirm that TDP‐43 pathology frequency increases in elderly White study participants with age of death, independent of cognitive status. Furthermore, TDP‐43 pathology frequency increases to a greater degree with age in those with dementia. Given the clear links between TDP‐43 and impaired cognition, the contribution of TDP‐43 to an individual’s cognitive impairment is likely to increase with age; a dynamic with significant public health consequences given our aging population.

AbstractBackgroundMost series exploring the causes of rapidly progressive dementia (RPD) rely on clinical diagnoses, with limited pathological confirmation. This approach may underestimate the contributions of Alzheimer disease and related dementias to RPD, recognizing challenges associated with extrapolating clinical phenotypes to neuropathological diagnoses. A clearer understanding of the neuropathological causes of RPD is needed to inform the diagnosis and treatment of patients. To meet this need, we determined the neuropathological causes of RPD within the Mayo Clinic neurodegenerative brain bank.MethodPatients with disease duration <4.0 years (symptom‐onset to death due to dementia) were identified within the Mayo Clinic neurodegenerative brain bank (1998‐2020). Available clinical records were reviewed, and details extracted including demographics, family history, dominant symptoms/signs at onset, and common comorbidities (depression, psychoses, sleep disturbance). Neuropathological diagnoses were assigned following standard protocols.Result310/8586 (3.6%) cases met RPD criteria. Relative to typically progressive cases, prion disease most commonly presented as RPD (74%, 32/43), followed by progressive supranuclear palsy/corticobasal degeneration (PSP/CBD: 7.5%, 142/1894), other frontotemporal lobar degeneration (FTLD: 5.7%, 32/561), Lewy body disease (LBD: 4.1%, 49/1202), and Alzheimer disease (AD: 1.8%, 48/2687). Average age‐at‐symptom onset was 69.5±10.4 years. Patients with rapidly progressive AD were older than others (p<0.01), except LBD. Patients with FTLD were younger than others (p<0.05), except prion disease. Average disease duration was 2.9±1.0 years: prion diseases had the most rapid disease course (1.6±1.3 years). Comorbid cerebrovascular disease (25.5%), and clinically symptomatic depression (41.3%), psychoses (37.1%) and sleep disturbances (39.4%) were common across groups. Only psychosis was associated with shorter disease duration (β=‐0.31 years, CI95% [‐0.53, ‐0.082]; controlling for age‐at‐symptom onset).ConclusionRapidly progressive neurodegenerative diseases accounted for 3.6% of cases in this neurodegenerative brain bank. Although prion disease commonly presented as RPD, atypical presentations of more prevalent neurodegenerative diseases accounted for most cases. Atypical (rapidly progressive) variants of typical neurodegenerative diseases warrant consideration in clinical practice.